agentic commerce
let the robots do your shopping for you
Agents need your business context to help customers. Evolve helps organisations prepare their composable architecture for an AI-driven future.
Once the foundation is there, set up agentic building blocks and build your own experiences, like chat, automated workflows and LLM native shopping.
how Evolve enables the right approach
orchestrate your data
Well-architected composable commerce orchestrates instead of using point-to-point integrations
enable a technical interface for the conversation
Unlock your data through 1 GraphQL endpoint and enable agent actions with MCP servers
provide the business context
Make agents follow your business rules, just like a human would
see it in action
Before we tell you all about how Evolve enables AI, why not show you? On our demo environment, we have enabled a context-aware shopping agent. Simply log in with your Evolve account; the Evolve agent has the same capabilities as a user. Try out any functionality from browsing until ordering!
the AI promise meets reality
AI agents are moving fast; shopper assistants, automated ordering, support, and operations.
In a race to enable agentic shopping, every software vendor is building their own MCP servers, for interoperability. Plugging agents directly into SaaS MCPs or vendor-specific protocols will create some clear problems though:
Tight coupling between frontends and SaaS services
Partial context awareness, for price, availability, promotions, business rules, etc
Business logic gets duplicated across channels
GraphQL schemas stitched together without a unified domain model
AI needs business context
AI agents don’t just retrieve data, they act. They search catalogs, select variants, place orders, trigger payments, and follow your business rules, just like a human would. To do that, they need a well-designed integration and orchestration layer that sits between agents and SaaS services.
A layer that understands:
Your domain model
Your rules and constraints
Your business expertise
This layer becomes the machine-consumable representation of your business.
That’s where Evolve comes in.
To solve this problem, Evolve orchestrates the data through a Federated GraphQL gateway on top of SAAS, Cloud and Custom services. This allows our customers to achieve unique digital experiences, without the complexity of point-to-point integrations.
Benefits of GraphQL federation
A coherent, consistent and composable integration layer that can interact with the outside world in real time
Ability to power and orchestrate customer journeys on top of this orchestrated data
Makes your organization ready for AI
Michael van Tellingen - R&D DirectorEvolve's architecture enables us to build unique AI-powered experiences, changing the way your customers can engage with your platform in meaningful ways.
Unlocked agentic capabilities with Evolve
MCP server
Evolve’s MCP server removes the friction between your commerce platform and the fast moving world of AI driven tools and services. It provides a secure, battle-tested layer that lets developers connect models, agents and internal systems to Evolve without brittle, point-to-point integrations.
Since it sits on top of the Evolve orchestration layer, it will safely allow actions across your entire commerce stack as any logged in user could. Go from product discovery to updating a users account and even placing an order. Connect these actions in your agentic workflow management tools like n8n and automate real use cases.
Shopping assistant
The Evolve Shopping Assistant delivers a continuous, context-aware conversation that spans sessions and truly understands each customer. It reduces customer service load through intelligent chat, even extending to other channels like WhatsApp for Business.
It enables natural-language site interaction, and improves accessibility, creating a more inclusive, personalised and immersive shopping experience. It is built on top of the Evolve MCP server for optimal context and performance.
GEO
Evolve unlocks Generative Engine Optimization (GEO) by giving AI systems clean, contextual, and machine-consumable access to your business domain.
GEO research highlights that visibility in generative answers depends less on keywords and more on structured data, authoritative context, and actionability. Evolve’s architecture exposes products, availability, and business rules in a way generative engines can reliably use.
The result:
stronger findability versus competitors,
reduced reliance on paid media,
A foundation for end-to-end agentic commerce.
With future support for protocols like UCP & ACP, Evolve enables transactional AI journeys (search, select, and buy) directly within generative interfaces.
Agentic procurement
Agentic procurement is a shift from human-led buying to AI agents acting on behalf of procurement teams. It can start with easy transformations of large order sheets to real customer orders. In the end, these agents will monitor inventory, apply contract terms, enforce approvals, and place routine orders automatically through structured, machine-readable interfaces.
The result is faster purchasing, perfect compliance and lower operational effort, while humans stay focused on strategy, value creation and strong supplier relationships.
implementing Evolve
Curious to find out how Evolve was implemented at similar companies?
read more
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Co-founder Lab Digital and Evolve
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